class_docstr: Transform via the mapping :math:`y = safe_cholesky(x)`, where `x` is a
  positive definite matrix.
class_docstr_tok: ["Transform","via","the","mapping",":","math",":","`","y","=","safe_cholesky","(","x",")","`",",","where","`","x","`","is","a","positive","definite","matrix","."]
code: def __eq__(self, other):
      return isinstance(other, CholeskyTransform)
  
file_path: pyro/pyro/distributions/transforms/cholesky.py
imports: import math
  import warnings
  import torch
  from torch.distributions.transforms import CorrCholeskyTransform, Transform
  from ..None import constraints
label_desc: Use image node_id 1 for calling the CholeskyTransform obj's underlying member method code with example usage: obj.__eq__(other) and returns: isinstance